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Introduction to Statistics for Biomedical Engineers

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Author :
Release : 2007
Genre : Biomedical engineering
Kind : eBook
Book Rating : 963/5 ( reviews)

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Book Synopsis Introduction to Statistics for Biomedical Engineers by : Kristina Marie Ropella

Download or read book Introduction to Statistics for Biomedical Engineers written by Kristina Marie Ropella. This book was released on 2007. Available in PDF, EPUB and Kindle. Book excerpt: Provides a bare-bones coverage of the most basic statistical analysis frequently used in biomedical engineering practice. The text introduces students to the essential vocabulary and basic concepts of probability and statistics that are required to perform the numerical summary and statistical analysis used in the biomedical field.

An Introduction to Statistics for Biomedical Engineering

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Release : 2020-08-31
Genre :
Kind : eBook
Book Rating : 502/5 ( reviews)

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Book Synopsis An Introduction to Statistics for Biomedical Engineering by : Thurmon Lockhart

Download or read book An Introduction to Statistics for Biomedical Engineering written by Thurmon Lockhart. This book was released on 2020-08-31. Available in PDF, EPUB and Kindle. Book excerpt:

Introduction to Statistics for Biomedical Engineers

Download Introduction to Statistics for Biomedical Engineers PDF Online Free

Author :
Release : 2022-05-31
Genre : Technology & Engineering
Kind : eBook
Book Rating : 203/5 ( reviews)

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Book Synopsis Introduction to Statistics for Biomedical Engineers by : Kristina Ropella

Download or read book Introduction to Statistics for Biomedical Engineers written by Kristina Ropella. This book was released on 2022-05-31. Available in PDF, EPUB and Kindle. Book excerpt: There are many books written about statistics, some brief, some detailed, some humorous, some colorful, and some quite dry. Each of these texts is designed for a specific audience. Too often, texts about statistics have been rather theoretical and intimidating for those not practicing statistical analysis on a routine basis. Thus, many engineers and scientists, who need to use statistics much more frequently than calculus or differential equations, lack sufficient knowledge of the use of statistics. The audience that is addressed in this text is the university-level biomedical engineering student who needs a bare-bones coverage of the most basic statistical analysis frequently used in biomedical engineering practice. The text introduces students to the essential vocabulary and basic concepts of probability and statistics that are required to perform the numerical summary and statistical analysis used in the biomedical field. This text is considered a starting point for important issues to consider when designing experiments, summarizing data, assuming a probability model for the data, testing hypotheses, and drawing conclusions from sampled data. A student who has completed this text should have sufficient vocabulary to read more advanced texts on statistics and further their knowledge about additional numerical analyses that are used in the biomedical engineering field but are beyond the scope of this text. This book is designed to supplement an undergraduate-level course in applied statistics, specifically in biomedical engineering. Practicing engineers who have not had formal instruction in statistics may also use this text as a simple, brief introduction to statistics used in biomedical engineering. The emphasis is on the application of statistics, the assumptions made in applying the statistical tests, the limitations of these elementary statistical methods, and the errors often committed in using statistical analysis. A number of examples from biomedical engineering research and industry practice are provided to assist the reader in understanding concepts and application. It is beneficial for the reader to have some background in the life sciences and physiology and to be familiar with basic biomedical instrumentation used in the clinical environment. Contents: Introduction / Collecting Data and Experimental Design / Data Summary and Descriptive Statistics / Assuming a Probability Model from the Sample Data / Statistical Inference / Linear Regression and Correlation Analysis / Power Analysis and Sample Size / Just the Beginning / Bibliography

Statistics for Bioengineering Sciences

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Author :
Release : 2011-08-04
Genre : Mathematics
Kind : eBook
Book Rating : 944/5 ( reviews)

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Book Synopsis Statistics for Bioengineering Sciences by : Brani Vidakovic

Download or read book Statistics for Bioengineering Sciences written by Brani Vidakovic. This book was released on 2011-08-04. Available in PDF, EPUB and Kindle. Book excerpt: Through its scope and depth of coverage, this book addresses the needs of the vibrant and rapidly growing engineering fields, bioengineering and biomedical engineering, while implementing software that engineers are familiar with. The author integrates introductory statistics for engineers and introductory biostatistics as a single textbook heavily oriented to computation and hands on approaches. For example, topics ranging from the aspects of disease and device testing, Sensitivity, Specificity and ROC curves, Epidemiological Risk Theory, Survival Analysis, or Logistic and Poisson Regressions are covered. In addition to the synergy of engineering and biostatistical approaches, the novelty of this book is in the substantial coverage of Bayesian approaches to statistical inference. Many examples in this text are solved using both the traditional and Bayesian methods, and the results are compared and commented.

Engineering Biostatistics

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Release : 2017-12-07
Genre : Mathematics
Kind : eBook
Book Rating : 988/5 ( reviews)

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Book Synopsis Engineering Biostatistics by : Brani Vidakovic

Download or read book Engineering Biostatistics written by Brani Vidakovic. This book was released on 2017-12-07. Available in PDF, EPUB and Kindle. Book excerpt: Provides a one-stop resource for engineers learning biostatistics using MATLAB® and WinBUGS Through its scope and depth of coverage, this book addresses the needs of the vibrant and rapidly growing bio-oriented engineering fields while implementing software packages that are familiar to engineers. The book is heavily oriented to computation and hands-on approaches so readers understand each step of the programming. Another dimension of this book is in parallel coverage of both Bayesian and frequentist approaches to statistical inference. It avoids taking sides on the classical vs. Bayesian paradigms, and many examples in this book are solved using both methods. The results are then compared and commented upon. Readers have the choice of MATLAB® for classical data analysis and WinBUGS/OpenBUGS for Bayesian data analysis. Every chapter starts with a box highlighting what is covered in that chapter and ends with exercises, a list of software scripts, datasets, and references. Engineering Biostatistics: An Introduction using MATLAB® and WinBUGS also includes: parallel coverage of classical and Bayesian approaches, where appropriate substantial coverage of Bayesian approaches to statistical inference material that has been classroom-tested in an introductory statistics course in bioengineering over several years exercises at the end of each chapter and an accompanying website with full solutions and hints to some exercises, as well as additional materials and examples Engineering Biostatistics: An Introduction using MATLAB® and WinBUGS can serve as a textbook for introductory-to-intermediate applied statistics courses, as well as a useful reference for engineers interested in biostatistical approaches.

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